Path: utzoo!utgpu!news-server.csri.toronto.edu!rpi!zaphod.mps.ohio-state.edu!mips!spool.mu.edu!snorkelwacker.mit.edu!bloom-beacon!eru!hagbard!sunic!mcsun!ukc!edcastle!cs.ed.ac.uk!arshad From: arshad@cs.ed.ac.uk (Arshad Mahmood) Newsgroups: comp.ai.neural-nets Subject: Neural Network applications to Law Message-ID: <8754@skye.cs.ed.ac.uk> Date: 11 Apr 91 19:29:18 GMT References: <25154.671325056@hplpm.hpl.hp.com> Sender: nnews@cs.ed.ac.uk Reply-To: arshad@lfcs.ed.ac.uk (Arshad Mahmood) Organization: Laboratory for the Foundations of Computer Science, Edinburgh U Lines: 28 Could anybody refer me to any references which apply neural network techniques to law. There is at present a major initiative (both within Britian and elsewhere) to apply techniques from computer science to law (this can range from as an aid to teaching to the actual use of expert systems in arriving at suitable statuates, etc). The problem with most common approaches is that they require a rather rigid area (such as taxation, or immigration) which although being very complex is however relatively routine to actually apply. This is sadly not so with the majority of law, and consequently techniques ranging from logic programming to expert systems are being investigated. It appears to me however that the Anderson/Hinton Associative Memory research would be a great step forward in most of these other areas. We accept that we are in this regard taking a very positivistic view of law, but since this is the way law is commonly taught it doesn't seem unduly harmful at present. I am not a lawyer, therefore this is for a friend who on my advice has taken up at looking into connectionist approaches. We were however not aware of any specific work on this and would be most happy to hear of any relevent work. Regards, A. Mahmood LFCS Edinburgh University Scotland